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Introduction: Systemic light chain amyloidosis (AL) is a clonal plasma-cell neoplasm that carries a poor prognosis. Efforts are being made at recognizing this disease earlier and developing better prognostic tools as AL is frequently diagnosed at an advanced stage. Cytogenetic analysis and its prognostic relevance have been well studied in multiple myeloma (MM), a related disorder, but remain relatively unknown and less widely reported in AL literature. Previous studies have demonstrated that AL amyloidosis exhibits an increased incidence of translocation t(11;14). However, with an extensive array of fluorescence-in-situ hybridization (FISH) probes now available, multiple other cytogenetic abnormalities are being identified in AL at diagnosis. In addition, it is well known that cardiac involvement in AL is an independent negative prognostic factor for these patients; however, the implications of cytogenetics for these high-risk patients remains largely unexplored. Finally, with the advent of novel non-transplant therapy options for AL patients, we look to evaluate the relevance of daratumumab in this setting. As such, the present study aims to a) determine the most relevant FISH abnormalities in AL patients and establish their importance as independent prognostic factors for response to therapy and in survival, b) assess the impact of cytogenetics on the survival of cardiac AL patients, and c) determine the effect of daratumumab on the survival of patients with AL. Methods: A retrospective chart review was performed on 140 consecutive AL patients treated at The Ohio State University. This cohort included 20 patients who received daratumumab. Patients were divided into subgroups based on FISH data obtained within 90 days of diagnosis. Hyperdiploidy was defined as trisomies of at least 2 chromosomal loci. Primary endpoints were progression free survival (PFS) and overall survival (OS), and Kaplan Meier curves were used to calculate PFS and OS. Results: The median age at diagnosis was 62 years (range: 33-88) and 55% were male. Median number of organs involved was 2, and 49% and 65% had cardiac and kidney involvement, respectively. Chromosomal abnormalities were detected in 86 (61%) patients. Translocation t(11;14) was the most prevalent (44%) aberration followed by hyperdiploidy (43%). We observed a statistically significant relationship between several FISH abnormalities and increased plasma cell burden (PC) (≥10%), including gain (+) 5p/5q (p=0.025), del13q (0.009), +11q (p<0.001), and hyperdiploidy (p<0.001). In addition, hyperdiploidy was associated with worsening of PFS (p=0.019) and OS (p=0.032) (Figure 1A). In multivariable analysis, hyperdiploidy was confirmed to be a poor prognostic marker after adjusting for other confounding variables. In patients with cardiac involvement, hyperdiploidy was also associated with worsening of PFS (p=0.0497) and OS (p=0.006) (Figure 1B). Del 13q was found to be associated with cardiac involvement (p=0.01) but showed no prognostic impact on survival. Conversely, survival benefit was seen among these patients with cardiac involvement who had no FISH abnormalities at diagnosis, both in terms of OS and PFS (p=0.019 and p=0.042, respectively). In addition, the overall presence of t(11;14) did not have any prognostic impact on OS (p=0.76) or PFS (p=0.41). However, on further stratification, we did observe a marginal difference in PFS (p=0.09) among four groups (Figure 1C), and more specifically, patients with presence of only t(11;14) did worse compared to those patients with normal FISH in terms of PFS (p=0.021). This potentially suggests that patients with t(11;14) only are at risk for earlier progression. Finally, we evaluated the efficacy of daratumumab, and observed a median OS of 6.1 years and median PFS 2.6 years. Of note, presence of gain 1q was associated with a trend toward better response to daratumumab. 100% of patients (5/5) with gain 1q achieved a hematologic partial response (PR) or better versus only 60% of patients without +1q. Conclusion: Our findings reveal the effect of hyperdiploidy on PC tumor burden, overall survival, and its importance within the high-risk cardiac AL patient population. The results with daratumumab in our patient subset with gain 1q is intriguing in its own right but identification of the mechanism by which the effect of this mutation is abrogated merits further exploration as its use only continues to grow. Disclosures Rosko: Vyxeos: Other: Travel support. Efebera:Takeda: Honoraria; Akcea: Other: Advisory board, Speakers Bureau; Janssen: Speakers Bureau.

Background: Allogeneic hematopoietic transplantation (HCT) is frequently considered for patients (pts) with relapsed T-cell lymphoma (TCL) and less often as consolidation of initial therapy. Outcomes from prior registry data show that only 31% of pts remain disease free 3 years after HCT (Smith et al. JCO 2013). However, several single institution studies have superior outcomes. We previously presented an analysis of allogeneic transplant in T-cell lymphoma but have expanded this effort to 12 academic centers with longer follow up (Mehta-Shah ASH 2017). Methods: We analyzed the patient characteristics at time of diagnosis and transplant, treatment history, overall (OS) and progression-free survival (PFS) in consecutive TCL pts who had an HCT from 1/1/2000-12/31/2019 at 12 academic institutions. Results: Patient characteristics are shown in Table 1. 508 pts were identified with median age 51 years (16 - 72). 452 (86.5%) had known remission status at the time of HCT: 245 (54.4%) complete remission (CR), 168 (37.2%) partial remission (PR), 23 (5.0%) stable disease (SD), 16 (3.2%) progressive disease (PD). Seventy-eight (15.5%) had a prior autologous HCT. Thirty-six (7%) pts underwent HCT in CR1, 352 (69%) for relapsed/refractory TCL, and was not specified in 120 pts (24%). The median HCT comorbidity index (HCT-CI) score was 1 (0-11). Conditioning regimens were myeloablative (n=180), reduced intensity/non-myeloablative (n=323), unknown (n=3). Donor type was known for 471 pts: 192 matched related (MRD), 183 matched unrelated (MUD), 53 mismatched (MMD), 18 haploidentical donors, 25 umbilical cord blood. In this series, the 2 year OS and PFS rate following HCT were 59.1% (95%CI: 54.6-63.3%) and 45.8% (95%CI: 41.3-50.2%) respectively. 5 year OS and PFS rate were 50.8% (95%CI: 46.1-55.3%) and 39.4% (95%CI: 34.9-43.9%) (Fig 1) For disease specific 2-year and 5-year PFS, see Table 1. At a median follow-up of 29.7 mo (0.1-263 mo), 163 pts had relapsed and 261 pts had died. The median time from relapse post HCT to death was 10.2 mo (0-158.4 mo). Of 261 deaths: 81 were due to transplant related mortality (TRM), 69 were confirmed to be from TCL, and 111 were from non-relapse mortality/unknown. There was not a significant difference in PFS for pts with AITL, PTCL-NOS, ALK positive ALCL or ALK negative ALCL, with median PFS of 23.2 mo (95%CI:15.3-64.2). However, when AITL was compared specifically to PTCL-NOS or ALCL, those with AITL had a trend towards improved median PFS (51.4 mo vs. 18.4 mo, p=0.14) and improved median OS (not reached vs. 73.1 mo, p=0.26). At 5 years, PFS was worse for CTCL (18.6%, 95% CI: 9.7%-30.0%) compared to PTCL subtypes (43.8%; 95% CI: 37.3%-50.0%)(p&lt;0.001) . However, 5-year OS was similar for CTCL (44.0%, 95% CI: 30.1-56.4%) and PTCL (53.1%, 95% CI: 46.5-59.3%) (p=0.46). The rate of TRM at 1 year was 11.2% (95%CI:8.5%-14.0%). Of evaluable pts, 245/489 (46%) had acute GvHD and 192/473 (40.6%) had chronic GvHD. There were no differences in TRM according to recipient age (p=0.47). Higher HCT-CI was associated with an increased risk of TRM (HR 1.15, 95% CI: 1.031-1.286; p=0.012) Disease status at the time of HCT was associated with PFS (p&lt;0.001). Median PFS for those with CR (n=239), PR (n=164), SD (n=22) or PD (n=14) were 44.6 mo, 8.6 mo, 21 mo, 3.5 mo respectively. Degree of donor match was associated with cumulative TRM (p=0.0241). For pts who underwent MRD, MUD, or MMD HCT, cumulative TRM at 12 months was 8% (95%CI: 5.5-12.2%), 13.1% (95%CI: 9.7-17.8%), 14.7% (95%CI: 8.7-24.6%). Conclusions: We present the largest series of HCT in TCL. In this dataset, HCT provided durable disease control for a significant portion of pts with relapsed or refractory or otherwise high risk TCL. Depth of response to therapy immediate prior to HCT was associated with PFS. Patients with AITL appeared to have a trend towards improved outcome with HCT compared to other common PTCL histologies. Patients with CTCL had a higher rate of relapse compared to PTCL subtypes, but OS was similar. MRD HCTs were associated with lower TRM. This data supports the curative potential of HCT in a patient group with otherwise poor survival and limited treatment options. Disclosures Mehta-Shah: Corvus: Research Funding; Genetech/Roche: Research Funding; Verastem: Research Funding; Karyopharm Therapeutics: Consultancy; Bristol Myers-Squibb: Research Funding; Celgene: Research Funding; C4 Therapeutics: Consultancy; Kyowa Hakko Kirin: Consultancy; Innate Pharmaceuticals: Research Funding. Dahi:Kite: Consultancy. Sauter:Sanofi-Genzyme: Consultancy, Research Funding; Kite - a Gilead Company: Consultancy; Spectrum Pharamaceuticals: Consultancy; Gamida Cell: Consultancy; GSK: Consultancy; Bristol-Myers Squibb: Research Funding; Celgene: Consultancy, Research Funding; Novartis: Consultancy; Genmab: Consultancy; Precision Biosciences: Consultancy, Research Funding; Juno Therapeutics: Consultancy, Research Funding. Moskowitz:Merck: Research Funding; Imbrium Therapeutics, L.P.: Consultancy; Bristol-Myers Squibb: Research Funding; Miragen Therapeutics: Consultancy; Merck: Consultancy; Seattle Genetics: Consultancy; Incyte: Research Funding; Seattle Genetics: Research Funding. Jacobsen:Novartis: Research Funding; Takeda: Honoraria; Pharmacyclics: Research Funding; F. Hoffmann-LaRoche: Research Funding; Astra-Zeneca: Consultancy; Acerta: Consultancy; Merck: Consultancy. William:Celgene: Consultancy, Honoraria; Guidepoint Global: Consultancy; Seattle Genetics: Research Funding; Dova: Research Funding; Incyte: Research Funding; Merck: Research Funding; Kyowa Kirin: Consultancy, Honoraria. Barta:Monsanto: Consultancy; Pfizer: Honoraria; Janssen: Honoraria; Seattle Genetics: Honoraria, Research Funding; Atara: Honoraria. Allen:Clinical Care Options: Speakers Bureau; Curio Sciences: Honoraria; Research to Practice: Speakers Bureau; Imbrium: Consultancy, Other; Bayer: Consultancy, Other. Song:Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen, Celgene,Takeda: Consultancy, Honoraria; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene/BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Research Funding; Otsuka: Honoraria. Ruan:Celgene: Consultancy, Research Funding; Seattle Genetics: Research Funding; Kite Pharma: Consultancy; Juno: Consultancy; BMS: Consultancy, Research Funding; Pharmacyclics: Research Funding; AstraZeneca: Consultancy, Research Funding. McKinney:Kite/Gilead: Honoraria, Speakers Bureau; Kite/Gilead, Seattle Genetics, Molecular Templates, BTG, Pharmacyclics, Verastem, Genentech, Inc., Celgene: Consultancy; UNUM, Molecular Templates, Incyte, Beigene, Denovo Biopharma, Pharmacyclics, Nordic Nanovector, BMS, Genentech, Inc., Celgene: Research Funding. Beaven:Tessa Therapeutics: Research Funding; Roche: Research Funding; Seattle Genetics: Research Funding; MorphoSysAb: Research Funding; LoxoOncology: Research Funding; Celgene: Research Funding. Haverkos:Viracta THerapeutics: Consultancy. Alpdogan:Seattle Genetics: Consultancy; Kiowa Kirin: Consultancy. Porcu:Kiowa Kirin: Research Funding; Kura Oncology: Research Funding; Innate Pharma: Membership on an entity's Board of Directors or advisory committees, Research Funding; Galderma: Research Funding; Daiichi: Consultancy, Honoraria; Celgene: Research Funding; Cell Medica: Research Funding; Miragen: Research Funding; Verastem: Consultancy; Viracta Therapeutics: Membership on an entity's Board of Directors or advisory committees. Horwitz:Daiichi Sankyo: Research Funding; GlaxoSmithKline: Consultancy; Janssen: Consultancy; Kura Oncology: Consultancy; Myeloid Therapeutics: Consultancy; Miragen: Consultancy; ADCT Therapeutics: Consultancy, Research Funding; Aileron: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Forty Seven: Consultancy, Research Funding; Infinity/Verastem: Research Funding; Kyowa Hakka Kirin: Consultancy, Research Funding; Millenium/Takeda: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Trillium: Consultancy, Research Funding; Corvus: Consultancy; Innate Pharma: Consultancy; Mundipharma: Consultancy; Portola: Consultancy, Research Funding; Beigene: Consultancy; C4 Therapeutics: Consultancy; Verastem: Consultancy, Research Funding; Vividion Therapeutics: Consultancy; Affirmed: Consultancy; ASTEX: Consultancy.

The aim of our study was to selectively analyze newly diagnosed patients with acute myeloid leukemia treated with a hypomethylating agent and establish their risk for developing invasive fungal infections (IFIs). We stratified patients into concern for IFI versus no concern, and observed that patients of the male gender and those with underlying chronic obstructive pulmonary disease are at higher risk for concern for IFI, which may prompt clinicians to consider anti-mold prophylaxis in this setting. Background: Newly diagnosed patients with acute myeloid leukemia (AML) who receive induction with a hypomethylating agent (HMA) are often neutropenic with an increased risk for invasive fungal infections (IFIs). This study analyzed the incidence and risk factors for IFIs in these patients, evaluated clinical patterns in antifungal prophylaxis, and assessed the diagnostic utility of tests in this setting. Patients and Methods: We studied 117 newly diagnosed patients with AML treated with HMAs at our center, divided into groups based on concern for IFI (cIFI: all possible, probable, and proven IFIs) versus no concern for IFI. The Fisher exact test compared patients with cIFI versus without, and a multivariable logistic regression model estimated odds for cIFI. Results: Sixty-seven (57%) patients had cIFI, with 48 possible IFIs, 17 probable, and 2 proven cases. There was no difference in incidence based on home zip code, but the presence of chronic obstructive pulmonary disease was highly associated with cIFI (P ¼ .001), as was male gender (P ¼ .01). Neutropenia at treatment initiation was borderline in significance (P ¼ .08). In diagnostics, 9% of patients had positive serum fungal markers, and 30 patients underwent bronchoscopy, with only 27% of cases yielding positive results. There was a difference in treatment regimens between patients receiving antifungal prophylaxis with mold coverage versus without mold coverage with respect to cIFI (P ¼ .04). Conclusions: cIFI in patients with AML treated with HMAs remains significant, especially in males and those with chronic obstructive pulmonary disease, who were found to be at higher risk. This may prompt clinicians to consider anti-mold prophylaxis in this setting.